Key Responsibilities
Label text, images, audio, and video with precision; execute RLHF preference ranking and instruction evaluation; perform prompt evaluation and LLM output scoring; tag NLP entities (NER), sentiment, toxicity; annotate computer vision tasks (bounding boxes, polygons, segmentation, keypoints); apply content safety policies; run QA evaluation, gold-set checks, and calibration; uphold training data quality and annotation guidelines compliance; document edge cases; collaborate with ML teams to support model performance improvement and large language model evaluation.



